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Evaluation and analysis of passive optical network in investigating drilling time relative to material thickness

  • Ashok kumar , Ashish Kumar Singh , Abhishek Yadav , Sonendra Sharma and Vikas Sharma ORCID logo EMAIL logo
Published/Copyright: June 16, 2025
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Abstract

This study investigates the influence of key process parameters – abrasive flow rate, traverse speed, material properties, and milling depth – on reducing machining time using abrasive waterjet machining (AWJM). A modified abrasive feed system was developed to explore the effects of mass flow rate changes on traverse speed and machining efficiency, revealing traverse speed as a critical factor in Controlled Depth Milling (CDM). Materials such as brass, AL 2024, AL 6061, AISI 304, titanium, and tool steel were tested, with findings showing that increased traverse speed reduces surface waviness. A novel “Machinability Index” was proposed to assess how material type affects milling time, with low-machinability materials requiring slower speeds. Surface roughness was predicted using a model based on solid particle erosion and jet penetration, which aligned well with experimental results. The study also examined abrasive waterjet trepanning for aerospace materials, analyzing parameters like pressure and traverse speed using a full factorial design. Empirical models were developed to understand their effects on kerf width, surface texture, and hole roundness. The research highlights the potential of integrating optical communication systems for real-time process monitoring and automation, enhancing precision and efficiency in advanced manufacturing environments.

Keywords: optical; laser; CDM; AWJM; AISI

Corresponding author: Vikas Sharma, Electronics and Communication Engineering, Subharti Institute of Technology and Engineering, Meerut, U.P., India; and S.V.S.U, Meerut, U.P., India, E-mail:

Acknowledgments

Thanks to all my co authors for the support.

  1. Research ethics: Not applicable.

  2. Informed consent: We all are fully responsible for this paper.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The author states no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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20. Dr.Vikas Sharma (Assistant Professor,ECE deptt.) published in international conference Synergy2024- International Conference on Science, Engineering, and Management Paper title “Friction STIR Welding Techniques &their role inpassive optical network development” in the journal.Search in Google Scholar

Received: 2025-05-16
Accepted: 2025-05-25
Published Online: 2025-06-16

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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